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The pedestrian loading on civil engineering structures is usually determined by using equivalent load models or by directly measuring the imposed forces on a rigid floor. Direct measurements are however costly and often only feasible in the laboratory. Additionally, a pedestrian that moves on a flexible bridge tends to adapt to the bridge motion and the load models currently available are therefore no longer valid. The objective of this thesis is to use an inverse dynamic technique to identify the actual loading based on measured vibrations. 

The acceleration measurements are carried out on the Geierlay footbridge in Germany. These are then analysed to determine the modal properties of the structure, such as the natural frequencies and the damping ratios.

A joint input-state estimation algorithm is used to identify the pedestrian load, knowing the output accelerations. Before applying this inverse force identification technique to the real-world example, it is validated by two academic test cases. The first one is a 7m long, simply-supported concrete slab, such as in K. Van Nimmen et al. 'Inverse identification of pedestrian-induced loads' (ISMA, 2016), where the modal properties are already given as well as the resulting modal load. The influence of different parameters is also analysed. The second example is the extension of the former, by using the Geierlays length and its modal properties. 

The method is then applied to the Geierlay footbridge using the measured accelerations. Finally, the results are compared to existing load models with the goal to propose improvements.

Joint input-state estimation algorithm --- Flexible footbridge --- Pedestrian load --- Ingénierie, informatique & technologie > Ingénierie civile

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This book is dedicated to urbanization, which is observed every day, as well as the methods and techniques of monitoring and analyzing this phenomenon. In the 21st century, urbanization has gained momentum, and the awareness of the significance and influence of this phenomenon on our lives make us take a closer look at it not only with curiosity, but also great attention. There are numerous reasons for this, among which the economy is of special significance, but it also has many results, namely, economic, social, and environmental. First of all, it is a spatial phenomenon, as all of the aspects can be placed in space. We would therefore like to draw special attention to the results of urbanization seen on the Earth's surface and in the surrounding space. The urbanization–land relation seems obvious, but is also interesting and multi-layered. The development of science and technology provides a lot of new tools for observing urbanization, as well as the analyses and inference of the phenomenon in space. This book is devoted to in-depth analysis of past, present and future urbanization processes all over the world. We present the latest trends of research that use experience in the widely understood geography of the area. This book is focused on multidisciplinary phenomenon, i.e., urbanization, with the use of the satellite and photogrammetric observation technologies and GIS analyses.

Research & information: general --- footbridge --- urbanization --- functions of pedestrian bridges --- Trabzon --- urban expansion --- concentric-ring analysis --- grid-based analysis --- invers S curve --- Latin America --- transport accessibility --- real estate market --- population --- concentration --- urban sprawl --- land use --- urbanisation --- leapfrog development --- scattered development --- sustainable spatial-traffic planning --- microsimulation traffic modeling --- AHP --- multi-criteria analysis --- sensitivity analysis --- stakeholders' preferences --- public participation --- Landsat --- CA-Markov model --- SDG 11 --- urban sustainable development --- metropolitan expansion --- per-capita urban area --- per-capita cropland --- land mismatch --- Italy --- Slow City --- small towns --- spatial structure --- sustainable development --- old market square --- historical urban layout --- dynamics of urbanisation --- methods for mapping --- innovation value chain --- Guangdong-Hong Kong-Macao Greater Bay Area (GBA) --- innovation efficiency --- urban agglomerations --- land management --- land-use conflicts --- components of space --- spatial analysis --- GIS tools --- Great Changsha-Zhuzhou-Xiangtan City Group --- green innovation --- network structure --- unexpected output SBM model --- megaregion --- spatiotemporal patterns --- driving forces --- the Texas Triangle --- land-use change --- metropolitan gradient --- spatial econometrics --- agricultural mechanization --- Mediterranean --- footbridge --- urbanization --- functions of pedestrian bridges --- Trabzon --- urban expansion --- concentric-ring analysis --- grid-based analysis --- invers S curve --- Latin America --- transport accessibility --- real estate market --- population --- concentration --- urban sprawl --- land use --- urbanisation --- leapfrog development --- scattered development --- sustainable spatial-traffic planning --- microsimulation traffic modeling --- AHP --- multi-criteria analysis --- sensitivity analysis --- stakeholders' preferences --- public participation --- Landsat --- CA-Markov model --- SDG 11 --- urban sustainable development --- metropolitan expansion --- per-capita urban area --- per-capita cropland --- land mismatch --- Italy --- Slow City --- small towns --- spatial structure --- sustainable development --- old market square --- historical urban layout --- dynamics of urbanisation --- methods for mapping --- innovation value chain --- Guangdong-Hong Kong-Macao Greater Bay Area (GBA) --- innovation efficiency --- urban agglomerations --- land management --- land-use conflicts --- components of space --- spatial analysis --- GIS tools --- Great Changsha-Zhuzhou-Xiangtan City Group --- green innovation --- network structure --- unexpected output SBM model --- megaregion --- spatiotemporal patterns --- driving forces --- the Texas Triangle --- land-use change --- metropolitan gradient --- spatial econometrics --- agricultural mechanization --- Mediterranean

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This book is dedicated to urbanization, which is observed every day, as well as the methods and techniques of monitoring and analyzing this phenomenon. In the 21st century, urbanization has gained momentum, and the awareness of the significance and influence of this phenomenon on our lives make us take a closer look at it not only with curiosity, but also great attention. There are numerous reasons for this, among which the economy is of special significance, but it also has many results, namely, economic, social, and environmental. First of all, it is a spatial phenomenon, as all of the aspects can be placed in space. We would therefore like to draw special attention to the results of urbanization seen on the Earth's surface and in the surrounding space. The urbanization–land relation seems obvious, but is also interesting and multi-layered. The development of science and technology provides a lot of new tools for observing urbanization, as well as the analyses and inference of the phenomenon in space. This book is devoted to in-depth analysis of past, present and future urbanization processes all over the world. We present the latest trends of research that use experience in the widely understood geography of the area. This book is focused on multidisciplinary phenomenon, i.e., urbanization, with the use of the satellite and photogrammetric observation technologies and GIS analyses.

footbridge --- urbanization --- functions of pedestrian bridges --- Trabzon --- urban expansion --- concentric-ring analysis --- grid-based analysis --- invers S curve --- Latin America --- transport accessibility --- real estate market --- population --- concentration --- urban sprawl --- land use --- urbanisation --- leapfrog development --- scattered development --- sustainable spatial–traffic planning --- microsimulation traffic modeling --- AHP --- multi-criteria analysis --- sensitivity analysis --- stakeholders’ preferences --- public participation --- Landsat --- CA–Markov model --- SDG 11 --- urban sustainable development --- metropolitan expansion --- per-capita urban area --- per-capita cropland --- land mismatch --- Italy --- Slow City --- small towns --- spatial structure --- sustainable development --- old market square --- historical urban layout --- dynamics of urbanisation --- methods for mapping --- innovation value chain --- Guangdong–Hong Kong–Macao Greater Bay Area (GBA) --- innovation efficiency --- urban agglomerations --- land management --- land-use conflicts --- components of space --- spatial analysis --- GIS tools --- Great Changsha-Zhuzhou-Xiangtan City Group --- green innovation --- network structure --- unexpected output SBM model --- megaregion --- spatiotemporal patterns --- driving forces --- the Texas Triangle --- land-use change --- metropolitan gradient --- spatial econometrics --- agricultural mechanization --- Mediterranean --- n/a --- sustainable spatial-traffic planning --- stakeholders' preferences --- CA-Markov model --- Guangdong-Hong Kong-Macao Greater Bay Area (GBA)